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Kyojin ChooView profile

Assistant Professor

• Charge-domain circuits
• Sensor interfaces
• Energy converters
• +4 more

Kyojin Choo is a Tenure Track Assistant Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Engineering , affiliated with the Mixed-Signal Integrated Circuits Lab (MSIC-LAB). He also holds teaching roles in Microengineering and Electrical and Electronics Engineering at EPFL. B.S. and M.S. in Electrical Engineering from Seoul National University (2007, 2009) Ph.D. in Electrical Engineering from the University of Michigan (2018) His research focuses on charge-domain analog/mixed-signal circuits , low-power sensor interfaces , and compact ADCs for IoT, wearables, and millimeter-scale systems. He has pioneered charge-injection cell techniques for energy-efficient circuits in energy management, sensor front-ends, and communication. His work emphasizes reducing power consumption to nanowatt levels while enabling ultra-compact designs. His recent publications highlight advancements in compact SAR ADCs , low-power MEMS accelerometers , millimeter-scale imaging systems , and ultra-low-power timing generators . His research integrates charge-domain circuit design with sensor interface optimization , energy harvesting , and high-speed link architectures . He holds over 20 US patents and has taught courses in Microengineering and Electrical Engineering at EPFL. His group (MSIC-LAB) addresses challenges in battery-free sensor design, power-constrained system scaling, and commercialization of wearables with unconventional form factors.

Daniele Guido AllegriView profile

Professor

• Biomedical Engineering
• Microelectronics
• Embedded Systems
• +5 more

Daniele Guido Allegri is a Professor at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), affiliated with the Department of Innovative Technologies (DTI) and the Institute of Systems and Applied Electronics (ISEA). He became a professor in 2021 and serves as the director of ISEA since August 2023. His roles include leading the "Digital Electronics, Microelectronics, and Bioelectronics" scientific area since 2019. Allegri's research spans biomedical electronics, microelectronics, and embedded systems. Key projects include the development of radiation-hardened PLL ASICs (Cadagno, Quarnei), a Cardio Pulmonary Rescue Support System, and signal processing solutions for myopathy diagnosis and renal dialysis monitoring. He teaches courses on machine learning, analog/digital electronics, and embedded systems design. His publications focus on CMOS multifrequency impedance analyzers for biomedical applications (2018), real-time hydration monitoring via bioimpedance (2016-2017), and the European Solar Telescope (2021), which integrates advanced technologies for solar physics. These works reflect interdisciplinary expertise in circuit design, medical devices, and astrophysical instrumentation. Allegri's current affiliations include the Department of Innovative Technologies and ISEA at SUPSI. He has worked extensively on integrated circuits for biomedical applications, signal processing, and radiation-hardened electronics for space systems.

Daniele AllegriView profile

Professor

• Biomedical Engineering
• Integrated Circuits
• Embedded Systems
• +7 more

Daniele Allegri is a Professor of 'Programmable and Integrated Microelectronic Systems' at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), leading the Department of Innovative Technologies. He serves as Director of the Institute for Systems and Applied Electronics (ISEA) since 2023 and previously held roles including Head of the 'Digital Electronics, Microelectronics, and Bioelectronics' research area (since 2019). His professional career spans engineering roles at Mandozzi Elettronica SA (1998–2014) and academic research at SUPSI (2014–present). Education: Ing.-Dipl. in Electronic Engineering from ETH Zurich (1998), PhD in Microelectronics from the University of Pavia (2017). Research Focus: Development of integrated circuits and embedded systems for biomedical applications, mixed analog-digital circuits, FPGA systems, signal processing, imaging technologies, and Edge AI. His work addresses clinical needs like real-time hydration monitoring for dialysis patients and advanced solar telescope instrumentation. Key Projects: Probing semiconductor rad-hardness via ions/lasers Next-gen tunnel safety sensors High-precision 3D imaging systems Cardio Pulmonary Rescue Support System Wireless pulmonary edema sensing networks Publications emphasize biomedical instrumentation and astrophysical engineering. No scientific awards explicitly listed in text, but contributions suggest strong peer recognition. Advising activity details not provided in source text. Current affiliations include leadership roles at SUPSI's ISEA and teaching responsibilities in multiple electronics-related courses.

Seyed Armin TajalliView profile

Visiting Professor

• Ultra Low Power Circuits
• Analog/Mixed-Signal Circuits
• Data Converters
• +6 more

Seyed Armin Tajalli is a Visiting Professor at the École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI), Institute of Electrical Engineering (IEM), and Integrated Neurotechnologies Laboratory (INL). He has extensive experience in ultra-low power integrated circuit design and high-speed serial communication systems. Dr. Tajalli received his B.S.E.E. and M.S.E.E. degrees (with honors) from Sharif University of Technology, Tehran, and Tehran Polytechnic University in 1997 and 1999, respectively. He earned his Ph.D.E.E. on low-power integrated circuit design techniques in 2010 from EPFL. Prior to his academic career, he worked with Emad Semicon from 1998-2006 as a senior analog/RF design engineer and technical manager. His research focuses on ultra-low power circuit design, including subthreshold source-coupled logic, analog/mixed-signal circuits, data converters, and serial data transceivers. His work addresses critical challenges in low-power design, high-speed communication, and energy-efficient circuit implementations. Recent publications demonstrate his expertise in spectrum shaping techniques, crosstalk reduction, and high-speed serial links for memory interfaces and multi-drop communication systems. Dr. Tajalli's publications span high-impact journals and conferences including IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems, and major conferences like ISSCC, ISCAS, and VLSI Symposium. His research demonstrates consistent innovation in low-power circuit techniques with practical applications in high-speed communication systems. Kharazmi Award on Research and Development, 2000 Outstanding Design Engineer, Emad Semicon, 2001 Presidential Award of the best Iranian researchers, 2003 ACM/CICC Award, 2009 EPFL Prime Special Award, 2009 Dr. Tajalli has advised PhD students including Kiarash Gharibdoust, whose thesis focused on Hybrid NRZ/Multi-Tone Signaling for High-Speed Low-Power Wireline Transceivers. His collaborative work with the ALGO team has resulted in significant contributions to high-speed serial data transceiver architectures. His research has been supported by various academic and industrial partnerships focused on advancing integrated circuit design techniques. His work is primarily conducted within EPFL's Integrated Neurotechnologies Laboratory (INL) and previously with the Microelectronic Systems Laboratory (LSM). These labs provide state-of-the-art facilities for mixed-signal IC design, characterization, and testing, supporting his research in ultra-low power circuits and high-speed communication systems.

• Telecommunications
• Circuits Engineering
• Signal Processing
• +3 more

Sitian Li is a Doctoral Assistant at the Telecommunications Circuits Laboratory (TCL) , affiliated with the School of Engineering at École polytechnique fédérale de Lausanne (EPFL). Their work focuses on telecommunications and circuits engineering. Contact: sitian.li@epfl.ch Current affiliation: EPFL School of Engineering Telecommunications Circuits Laboratory (TCL) Research interests span advanced communication systems, signal processing, microelectronics, and digital systems. The laboratory is located at ELD 131 (Bâtiment ELD), Station 11, 1015 Lausanne, Switzerland.

Adrian M. IonescuView profile

Professor

• Nanoelectronic devices
• Nanotechnology
• Steep-slope tunnel FETs
• +7 more

Adrian M. Ionescu is a Full Professor at the Department of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL). He directs the Nanoelectronic Devices Laboratory (Nanolab) and contributes to the Doctoral Program in Microsystems and Microelectronics. His research bridges nanoelectronics, quantum computing, and biomedical sensing. B.S./M.S. in Electronics, Politehnica University Bucharest Ph.D. in Microelectronics, Politehnica University Bucharest Ph.D. in Physics of Semiconductor Devices, INPG Grenoble Research spans energy-efficient nanoelectronics , steep-slope switches , quantum computing qubits , edge AI sensors , and lab-on-skin wearable systems . Key projects include ERC Advanced Grant Milli-Tech for millivolt technology, DIGIPREDICT for digital twins in healthcare, and Sinergia NeMO for memristors. Recent publications focus on 2025 VO 2 phase-change devices, 2024 graphene biosensors, and 2023 III-V tunnel FETs. Awards include the 2024 IEEE Cledo Brunetti Award , 2017 IEEE George Smith Award , and IBM Faculty Award (2013) . As EPFL doctoral program director, he has guided 10+ PhD students in biosensing, ferroelectric FETs, and neuromorphic systems.

Roberto DinapoliView profile

Researcher

• Microelectronics
• X-ray Detection
• Radiation Hard Electronics
• +4 more

Dr. Roberto Dinapoli is a Principal Researcher and team leader at the Paul Scherrer Institute (PSI), specializing in microelectronics for high-energy physics and photon science. He earned his PhD from Université Montpellier II and holds a degree in Electronic Engineering from Polytechnic University of Bari. Education: PhD in Microelectronics (Université Montpellier II), Electronic Engineering (Politecnico di Bari) His research focuses on radiation-hard hybrid pixel detectors for synchrotrons and free-electron lasers (XFELs), including the development of EIGER, MÖNCH, MYTHEN III, and DOMINO chips. These systems enable high-resolution imaging, charge integration, and single-photon counting under extreme radiation environments. Recent publications highlight advancements in 25 µm pitch detectors, charge transport simulations using deep learning, and quantum efficiency optimization for soft X-rays. His work impacts applications in synchrotron radiation, nanoelectronics metrology, and high-speed imaging. Key Projects: EIGER (24kHz framing), MÖNCH (25µm pixel), MYTHEN III (50µm strips), DOMINO (2GHz memory) Dinapoli actively collaborates on detector patents licensed to DECTRIS and participates in EUROPRACTICE/CADENCE software management. He leads the Chip Design Competence Team (CDCT) at PSI.

• Biomedical Electronics
• CMOS Sensor Systems
• Integrated Circuits
• +3 more

Dr. Thomas Burger is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on advanced CMOS sensor systems, biomedical electronics, and wearable medical devices. Key areas include the development of high-resolution tactile sensors, energy-efficient wireless systems, and molecular diagnostics platforms. His work integrates cutting-edge semiconductor technologies with applications in healthcare monitoring and environmental sensing. Education: While specific academic qualifications are not detailed, his role as a lecturer at ETH Zürich implies a strong background in electrical engineering and integrated circuits, likely including a PhD in a related field. Research interests prominently feature: CMOS-based sensor arrays for gas detection and molecular analysis Low-power wireless communication systems (e.g., wake-up receivers) Biomedical instrumentation for MRI and wearable health monitoring Material science innovations for antifouling and flexible electronics Publications span 2025 to 1995, emphasizing interdisciplinary advancements in sensor technology and medical electronics. His work bridges microelectronics design with real-world applications in healthcare, environmental monitoring, and robotics.

Frank Kagan GürkaynakView profile

Researcher

• Energy-Efficient Microelectronics
• Cryptographic Hardware Security
• Digital Integrated Circuit Design
• +4 more

Frank Kagan Gürkaynak is Director of the Microelectronics Design Center (DZ) and a Researcher at ETH Zurich's Department of Information Technology and Electrical Engineering (D-ITET). He leads the PULP open-source hardware project and works closely with Prof. Luca Benini in the Integrated Systems Laboratory (IIS). His academic journey includes BSc/MSc from Istanbul Technical University and a PhD from ETH Zurich. Roles: Microelectronics Design Center Director, Senior Scientist in IIS, VLSI course lecturer Research focuses on energy-efficient digital circuits, cryptographic hardware security, and open-source processor architectures. Key projects include EU-funded initiatives like European Processor Initiative (EPI), Convolve, and NeuroSoC, along with SNSF grants Tiny Trainer and PEDESITE. Active in teaching VLSI design, embedded systems, and essential engineering skills. Publications emphasize secure cryptographic accelerators, low-power processor clusters, and GALS system design methodologies. Contributions include energy-efficient ASICs for IoT to HPC domains and pioneering work in side-channel attack-resistant hardware.

Charlotte FrenkelView profile

Assistant Professor

• Neuromorphic Engineering
• AI Processor Design
• Digital and Mixed-Signal IC Design
• +5 more

Charlotte Frenkel is a Tenure-Track Assistant Professor in the Microelectronics Department at Delft University of Technology (TU Delft), where she leads research in neuromorphic engineering and low-power AI hardware. Her work bridges the gap between biological intelligence and artificial neural networks, focusing on energy-efficient computing at the edge. Dr. Frenkel's research spans digital and mixed-signal IC design, computer architecture, learning algorithms, and neuroscience. She directs the Cognitive Sensor Nodes and Systems (CogSys) lab, which develops neuromorphic processors like ODIN, MorphIC, SPOON, and ReckOn that demonstrate competitive advantages over conventional neural network accelerators. Her publications reveal a strong focus on spiking neural networks, event-based processing, and on-chip learning. Key trends include developing hardware that leverages sparsity for energy efficiency, creating bio-inspired learning algorithms that solve weight transport and update locking problems, and establishing frameworks for benchmarking neuromorphic systems through initiatives like NeuroBench. Scientific Awards: IBM Innovation Award 2021 Nokia Bell Labs Scientific Award 2021 IEEE ISCAS 2020 Best Paper Award NEUROTECH/NICE Best Early Researcher Presentation 2021 AiNed Fellowship Grant Dr. Frenkel is actively expanding her research group through PhD and postdoc positions. She serves as Associate Editor for IEEE Transactions on Biomedical Circuits and Systems and Frontiers in Neuroscience, and has held numerous leadership roles in conference organization including Program Chair for tinyML Research Symposium 2024 and Neuro-Inspired Computational Elements conference 2023-2024. Her service includes extensive reviewing activities for top IEEE journals and conferences in her field.

Hanspeter SchmidView profile

Professor

• Signal Integrity
• Sigma-Delta Modulation
• Low-Power Electronics
• +7 more

Prof. Dr. Hanspeter Schmid is a Lecturer for Microelectronics and Signal Processing at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) within the School of Engineering and the Environment. He also serves as a part-time Senior Lecturer at ETH Zurich for Analog Signal Processing and Filtering. Diploma, Postgraduate, and Doctoral degrees from ETH Zurich His research focuses on fast low-power circuits for sensor electronics, signal integrity in analog systems , and sigma-delta modulation . Recent publications address noise analysis, statistical fallacies in small sample measurements, and mixed-signal circuit design. Key article trends include analog/digital filter design, signal-flow graphs, and FFT applications in noise measurement. His work bridges theoretical mathematics with practical circuit implementation, as seen in his 3σ Fallacy study and switched-capacitor tutorials. IEEE CAS Society : Co-Chair (2008-2010), Associate Editor (TCAS-I 2007-2011, TCAS-II 2016-2017) Distinguished Lecturer (2011-2012) and ESSCIRC committee member until 2019 He supervises research projects like Authenticity in Music Production , collaborating with digital music research centers to simulate electronic equipment. His professional affiliations include FHNW’s Institute for Sensors and Electronics and ETH Zurich.

• Digital Microelectronics
• FPGA Design
• ASIC Design
• +3 more

Stefan Brantschen is a Lecturer at the University of Applied Sciences and Arts Northwestern Switzerland , affiliated with the School of Engineering and Environment . He works at the intersection of digital microelectronics, algorithm development, and hardware verification using VHDL. Role: Research associate and lecturer in digital design Expertise: FPGA/ASIC implementation, architecture development, functional safety standards (DO-254) His research focuses on digital microelectronics , emphasizing practical implementation from concept to real-world deployment. He also contributes to functional safety verification frameworks in industrial applications. Stefan supervises Master projects in digital microelectronics and teaches VHDL programming and digital design methodologies.

Bernard DelleyView profile

Researcher

• Density Functional Theory
• X-ray and Neutron Spectroscopies
• Semiconductor Devices
• +4 more

Bernard Delley is a Senior Scientist at the Paul Scherrer Institute's Laboratory for Theoretical and Computational Physics, specializing in computational approaches to material science and spectroscopy. His research spans Density Functional Theory, X-ray spectroscopy, semiconductor devices, and multiplet theory. Dr. Delley has made significant contributions to computational physics through the development of the DMol3 code and investigations into electronic structures of complex materials. His awards include fellowship distinctions from the American Physical Society and American Association for the Advancement of Science, along with the prestigious Seymour Cray Prize in Scientific Computing. Current research explores crystal-field multiplet computations and semiconductor device modeling, with ongoing collaborations in materials characterization and spectroscopy.

• IoT Sensing Systems
• Medical Devices
• Electrical Engineering
• +3 more

Diego Barrettino is a Lecturer at the Institute of Electrical Engineering IET CC Digital Energy and Electric Power, part of the Lucerne School of Engineering and Architecture at Lucerne University of Applied Sciences and Arts. His work focuses on advanced sensor systems, biomedical electronics, and IoT applications. Key projects include the development of portable medical devices for elderly health monitoring, smart agriculture sensors for grain moisture analysis, and implantable systems for cardiovascular monitoring. He also leads initiatives like the ExoFET and SmartCuff projects, emphasizing wearable and low-cost medical technologies. Barrettino’s research integrates CMOS technology, microelectronics, and sensor design to address challenges in healthcare, agriculture, and industrial applications. His contributions span from low-power biomedical circuits to smart sensor networks, with a focus on practical, cost-effective solutions. Recent trends in his publications highlight advancements in implantable systems, IoT-enabled agriculture monitoring, and portable diagnostic tools. Notable achievements include pioneering work on capacitive and inductive sensors for industrial and medical use, as well as innovations in microhotplate-based gas sensor systems. His interdisciplinary approach bridges electrical engineering with applications in healthcare and environmental monitoring, reflecting a commitment to real-world problem-solving.

• Digital Integrated Circuits
• VLSI Design
• Microelectronics
• +3 more

Dr. Angelo Garofalo is a Researcher at ETH Zurich, affiliated with the Department of Digital Integrated Circuits and Systems. He is part of the Professorship for Digital Integrated Circuits and Systems, based at the ETZ J 78 office in Gloriastrasse 35, 8092 Zürich, Switzerland. His contact information includes the email agarofalo@ethz.ch and phone number +41 44 632 82 19 . While no formal educational background is listed here, his research interests revolve around advancing digital integrated circuits and systems engineering. This includes exploration of VLSI design methodologies, microelectronics innovations, and systems optimization techniques. No recent publications, academic awards, or grant activities are explicitly documented in the provided text. His professional network and future research directions remain unreported in the available data.